Image Processing Reference
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REFERENCES
1.
di Francia, G.T. (1955). Resolving power and information. J. Opt. Soc. Am. A.
45: 497-501.
2.
Kosarev, E.L. (1990). Shannon's superresolution limit for signal recovery. Inverse
Problems. 6: 4975-76.
3.
Pike, E.R., McWhirter, J.G., Bertero, M., and de Mol, C. (1984). Generalized infor-
mation theory for inverse problems in signal processing. Proc. IEEE . 131: 660-667.
4.
Smith, M.R., Nichols, S.T., Henkelman, R.M., and Wood, M.L. (1986). Applica-
tion of auto-regressive moving average parametric modeling in magnetic reso-
nance image reconstruction. IEEE Trans. Med. Imaging . MI-5: 132-139.
5.
Liang, Z.-P. and Lauterbur, P.C. (1991). A generalized series approach to MR spec-
troscopic imaging. IEEE Trans. Med. Imaging . 10: 132-137.
6.
Liang, Z.-P. and Lauterbur, P.C. (1994). An efficient method for dynamic magnetic
resonance imaging. IEEE Trans. Med. Imaging . 13: 677-686.
7.
Shore, J.E. and Johnson, R.W. (1980). Axiomatic derivation of the principle of
maximum entropy and the principle of minimum cross-entropy. IEEE Trans.
Inform. Theory . 26: 26-37.
8.
Liang, Z.-P., Boada, F., Constable, T., Haacke, E.M., Lauterbur, P.C., and Smith,
M.R. (1992). Constrained reconstruction methods in MR imaging. Rev. Magn.
Reson. Med . 4: 67-185.
9.
Jones, R.A., Haraldseth, O., Muller, T.B., Rinck, P.A., and Oksenda, A.N. (1993).
k-space substitution: A novel dynamic imaging technique. Magn. Reson. Med . 29:
830-834.
10.
van Vaals, J.J., Brummer, M.E., Dixon, W.T., Tuithof, H.H., Engels, H., Nelson,
R.C., Gerety, B.M., Chezmar, J.L., and den Boer, J.A. (1993). Keyhole method for
accelerating imaging of contrast agent uptake. J. Magn. Reson. Imaging . 3: 671-675.
11.
Hanson, J.M., Liang, Z.-P., Wiener, E., and Lauterbur, P.C. (1996) Fast dynamic
imaging using two reference images. Magn. Reson. Med . 36: 172-175.
12.
Pruessmann, K.P., Weiger, M., Scheidegger, M.B., and Boesiger, P. (1999).
SENSE: Sensitivity encoding for fast MRI. Magn. Reson. Med . 42: 952-962.
13.
Papoulis, A. (1977). Generalized sampling expansion. IEEE Trans. Circuits Syst .
24: 652-654.
14.
Xu, D., Ying, L., and Liang, Z.-P. (2004). Parallel MR imaging in the presence of
large uncertainty in coil sensitivity functions: Effects, remedies and applications. in
Proceedings of the 26th Annual International Conference of the IEEE Engineering
in Medicine and Biology Society . San Francisco, USA, September 1-5.
15.
King, K.F. and Angelos, L. (2001). SENSE image quality improvement using matrix
regularization. in Proceedings of the 9th Annual Meeting of International Society
of Magnetic Resonance in Medicine . April 21-27. Glasgow, Scotland.
16.
Liang, Z.-P., Bammer, R., Ji, J., Pelc, N.J., and Glover, G.H. (2002). Improved
image reconstruction from sensitivity-encoded data by wavelet denoising and
Tikhonov regularization. in Proceedings of the 1st IEEE International Symposium
on Biomedical Imaging . Washington D.C., USA, July.
17.
Jakob, P.M., Griswold, M.A., Edelman, R.R., and Sodickson, D.K. (1998). AUTO-
SMASH: a self-calibrating technique for SMASH imaging. MAGMA 7: 42-54.
18.
Heidemann, R.M., Griswold, M.A., Haase, A., and Jakob, P.M. (2001). VD-
AUTO-SMASH imaging. Magn. Reson. Med . 45(6): 1066-1074.
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